Overview

Dataset statistics

Number of variables10
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory83.3 B

Variable types

Numeric1
Categorical9

Alerts

examin_ym has constant value ""Constant
respond_id has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:18:55.213149
Analysis finished2023-12-10 10:18:56.640300
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

respond_id
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53329453
Minimum53322293
Maximum53377311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:18:56.779133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53322293
5-th percentile53323857
Q153326299
median53328236
Q353330155
95-th percentile53331939
Maximum53377311
Range55018
Interquartile range (IQR)3856

Descriptive statistics

Standard deviation8777.9302
Coefficient of variation (CV)0.00016459817
Kurtosis25.065637
Mean53329453
Median Absolute Deviation (MAD)1931.5
Skewness4.921016
Sum5.3329453 × 109
Variance77052059
MonotonicityNot monotonic
2023-12-10T19:18:57.331965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53322293 1
 
1.0%
53329006 1
 
1.0%
53330051 1
 
1.0%
53330035 1
 
1.0%
53329772 1
 
1.0%
53329668 1
 
1.0%
53329542 1
 
1.0%
53329541 1
 
1.0%
53329440 1
 
1.0%
53329222 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
53322293 1
1.0%
53322901 1
1.0%
53323469 1
1.0%
53323594 1
1.0%
53323769 1
1.0%
53323862 1
1.0%
53324165 1
1.0%
53324315 1
1.0%
53324658 1
1.0%
53324755 1
1.0%
ValueCountFrequency (%)
53377311 1
1.0%
53377129 1
1.0%
53377085 1
1.0%
53332033 1
1.0%
53332019 1
1.0%
53331935 1
1.0%
53331863 1
1.0%
53331628 1
1.0%
53331592 1
1.0%
53331422 1
1.0%

examin_ym
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
202205
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202205
2nd row202205
3rd row202205
4th row202205
5th row202205

Common Values

ValueCountFrequency (%)
202205 100
100.0%

Length

2023-12-10T19:18:57.509220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:18:57.634937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202205 100
100.0%

sexdstn_flag_cd
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
F
52 
M
48 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowF
3rd rowF
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
F 52
52.0%
M 48
48.0%

Length

2023-12-10T19:18:57.794806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:18:57.953279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
f 52
52.0%
m 48
48.0%

agrde_flag_nm
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
50대
23 
60대
20 
40대
19 
20대
19 
30대
19 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40대
2nd row60대
3rd row60대
4th row20대
5th row30대

Common Values

ValueCountFrequency (%)
50대 23
23.0%
60대 20
20.0%
40대 19
19.0%
20대 19
19.0%
30대 19
19.0%

Length

2023-12-10T19:18:58.096006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:18:58.251874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50대 23
23.0%
60대 20
20.0%
40대 19
19.0%
20대 19
19.0%
30대 19
19.0%
Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울특별시
28 
경기도
19 
인천광역시
경상남도
부산광역시
Other values (12)
33 

Length

Max length7
Median length6
Mean length4.4
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row서울특별시
2nd row서울특별시
3rd row서울특별시
4th row서울특별시
5th row서울특별시

Common Values

ValueCountFrequency (%)
서울특별시 28
28.0%
경기도 19
19.0%
인천광역시 7
 
7.0%
경상남도 7
 
7.0%
부산광역시 6
 
6.0%
충청북도 5
 
5.0%
전라북도 5
 
5.0%
충청남도 3
 
3.0%
세종특별자치시 3
 
3.0%
대구광역시 3
 
3.0%
Other values (7) 14
14.0%

Length

2023-12-10T19:18:58.444785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 28
28.0%
경기도 19
19.0%
인천광역시 7
 
7.0%
경상남도 7
 
7.0%
부산광역시 6
 
6.0%
충청북도 5
 
5.0%
전라북도 5
 
5.0%
대구광역시 3
 
3.0%
강원도 3
 
3.0%
세종특별자치시 3
 
3.0%
Other values (7) 14
14.0%
Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
300이상500만원 미만
29 
700만원 이상
29 
300만원 미만
20 
500이상700만원 미만
18 
무응답

Length

Max length13
Median length8
Mean length10.15
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row300이상500만원 미만
2nd row700만원 이상
3rd row500이상700만원 미만
4th row300이상500만원 미만
5th row300만원 미만

Common Values

ValueCountFrequency (%)
300이상500만원 미만 29
29.0%
700만원 이상 29
29.0%
300만원 미만 20
20.0%
500이상700만원 미만 18
18.0%
무응답 4
 
4.0%

Length

2023-12-10T19:18:58.606912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:18:58.747162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미만 67
34.2%
300이상500만원 29
14.8%
700만원 29
14.8%
이상 29
14.8%
300만원 20
 
10.2%
500이상700만원 18
 
9.2%
무응답 4
 
2.0%
Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
없음
47 
영화관
25 
연극-뮤지컬, 영화관
 
3
박물관
 
3
문학 행사
 
3
Other values (16)
19 

Length

Max length41
Median length25
Mean length4.81
Min length2

Unique

Unique13 ?
Unique (%)13.0%

Sample

1st row없음
2nd row미술관-전시관, 음악 공연
3rd row문학 행사, 미술관-전시관, 영화관
4th row영화관
5th row영화관

Common Values

ValueCountFrequency (%)
없음 47
47.0%
영화관 25
25.0%
연극-뮤지컬, 영화관 3
 
3.0%
박물관 3
 
3.0%
문학 행사 3
 
3.0%
미술관-전시관 2
 
2.0%
영화관, 음악 공연 2
 
2.0%
연극-뮤지컬 2
 
2.0%
미술관-전시관, 박물관, 연극-뮤지컬, 영화관 1
 
1.0%
문학 행사, 미술관-전시관, 영화관 1
 
1.0%
Other values (11) 11
 
11.0%

Length

2023-12-10T19:18:58.944799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 47
33.1%
영화관 36
25.4%
박물관 10
 
7.0%
미술관-전시관 10
 
7.0%
연극-뮤지컬 8
 
5.6%
공연 8
 
5.6%
문학 7
 
4.9%
행사 7
 
4.9%
음악 7
 
4.9%
무용 1
 
0.7%
Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
없음
63 
영화관
10 
연극-뮤지컬
 
6
연극-뮤지컬, 영화관
 
4
박물관
 
3
Other values (12)
14 

Length

Max length41
Median length2
Mean length4.68
Min length2

Unique

Unique10 ?
Unique (%)10.0%

Sample

1st row없음
2nd row연극-뮤지컬, 영화관
3rd row박물관
4th row없음
5th row무용 공연, 박물관, 연극-뮤지컬, 음악 공연

Common Values

ValueCountFrequency (%)
없음 63
63.0%
영화관 10
 
10.0%
연극-뮤지컬 6
 
6.0%
연극-뮤지컬, 영화관 4
 
4.0%
박물관 3
 
3.0%
문학 행사, 박물관 2
 
2.0%
박물관, 영화관 2
 
2.0%
영화관, 음악 공연 1
 
1.0%
무용 공연, 박물관, 연극-뮤지컬, 음악 공연 1
 
1.0%
미술관-전시관, 박물관, 음악 공연 1
 
1.0%
Other values (7) 7
 
7.0%

Length

2023-12-10T19:18:59.167670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 63
44.1%
영화관 19
 
13.3%
연극-뮤지컬 15
 
10.5%
박물관 12
 
8.4%
공연 12
 
8.4%
음악 7
 
4.9%
무용 5
 
3.5%
미술관-전시관 4
 
2.8%
문학 3
 
2.1%
행사 3
 
2.1%
Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
영화관
32 
연극-뮤지컬
24 
없음
15 
음악 공연
13 
박물관
Other values (3)

Length

Max length7
Median length6
Mean length4.07
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row박물관
2nd row음악 공연
3rd row미술관-전시관
4th row연극-뮤지컬
5th row영화관

Common Values

ValueCountFrequency (%)
영화관 32
32.0%
연극-뮤지컬 24
24.0%
없음 15
15.0%
음악 공연 13
13.0%
박물관 7
 
7.0%
무용 공연 4
 
4.0%
미술관-전시관 3
 
3.0%
문학 행사 2
 
2.0%

Length

2023-12-10T19:18:59.395509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:18:59.584304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 32
26.9%
연극-뮤지컬 24
20.2%
공연 17
14.3%
없음 15
12.6%
음악 13
10.9%
박물관 7
 
5.9%
무용 4
 
3.4%
미술관-전시관 3
 
2.5%
문학 2
 
1.7%
행사 2
 
1.7%
Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
없음
40 
음악 공연
16 
영화관
13 
연극-뮤지컬
13 
미술관-전시관
Other values (3)
10 

Length

Max length7
Median length6
Mean length3.77
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영화관
2nd row연극-뮤지컬
3rd row음악 공연
4th row없음
5th row없음

Common Values

ValueCountFrequency (%)
없음 40
40.0%
음악 공연 16
 
16.0%
영화관 13
 
13.0%
연극-뮤지컬 13
 
13.0%
미술관-전시관 8
 
8.0%
문학 행사 4
 
4.0%
박물관 3
 
3.0%
무용 공연 3
 
3.0%

Length

2023-12-10T19:18:59.786740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:18:59.954923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 40
32.5%
공연 19
15.4%
음악 16
 
13.0%
영화관 13
 
10.6%
연극-뮤지컬 13
 
10.6%
미술관-전시관 8
 
6.5%
문학 4
 
3.3%
행사 4
 
3.3%
박물관 3
 
2.4%
무용 3
 
2.4%

Interactions

2023-12-10T19:18:56.104894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:19:00.114018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
respond_idsexdstn_flag_cdagrde_flag_nmanswrr_oc_area_nmhshld_income_dgree_nmlstyr_versus_viewng_ncnt_incr_act_nmlstyr_versus_viewng_ncnt_decr_act_nmtwo_year_within_cltur_art_viewng_hope_rn1_valuetwo_year_within_cltur_art_viewng_hope_rn2_value
respond_id1.0000.0600.2170.0000.1710.5810.0000.0000.000
sexdstn_flag_cd0.0601.0000.1920.1280.0000.0000.1940.2450.342
agrde_flag_nm0.2170.1921.0000.4700.1980.1230.0000.2890.171
answrr_oc_area_nm0.0000.1280.4701.0000.0000.0000.0000.0000.000
hshld_income_dgree_nm0.1710.0000.1980.0001.0000.5190.0000.2320.000
lstyr_versus_viewng_ncnt_incr_act_nm0.5810.0000.1230.0000.5191.0000.8470.7190.601
lstyr_versus_viewng_ncnt_decr_act_nm0.0000.1940.0000.0000.0000.8471.0000.6720.569
two_year_within_cltur_art_viewng_hope_rn1_value0.0000.2450.2890.0000.2320.7190.6721.0000.725
two_year_within_cltur_art_viewng_hope_rn2_value0.0000.3420.1710.0000.0000.6010.5690.7251.000
2023-12-10T19:19:00.328887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
agrde_flag_nmtwo_year_within_cltur_art_viewng_hope_rn1_valuehshld_income_dgree_nmlstyr_versus_viewng_ncnt_incr_act_nmlstyr_versus_viewng_ncnt_decr_act_nmsexdstn_flag_cdtwo_year_within_cltur_art_viewng_hope_rn2_valueanswrr_oc_area_nm
agrde_flag_nm1.0000.1770.0720.0300.0000.2310.1000.244
two_year_within_cltur_art_viewng_hope_rn1_value0.1771.0000.1390.3660.3390.1760.3170.000
hshld_income_dgree_nm0.0720.1391.0000.2570.0000.0000.0000.000
lstyr_versus_viewng_ncnt_incr_act_nm0.0300.3660.2571.0000.4310.0000.2730.000
lstyr_versus_viewng_ncnt_decr_act_nm0.0000.3390.0000.4311.0000.1550.2630.000
sexdstn_flag_cd0.2310.1760.0000.0000.1551.0000.2480.098
two_year_within_cltur_art_viewng_hope_rn2_value0.1000.3170.0000.2730.2630.2481.0000.000
answrr_oc_area_nm0.2440.0000.0000.0000.0000.0980.0001.000
2023-12-10T19:19:00.542611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
respond_idsexdstn_flag_cdagrde_flag_nmanswrr_oc_area_nmhshld_income_dgree_nmlstyr_versus_viewng_ncnt_incr_act_nmlstyr_versus_viewng_ncnt_decr_act_nmtwo_year_within_cltur_art_viewng_hope_rn1_valuetwo_year_within_cltur_art_viewng_hope_rn2_value
respond_id1.0000.0920.1600.0000.1320.2930.0000.0000.000
sexdstn_flag_cd0.0921.0000.2310.0980.0000.0000.1550.1760.248
agrde_flag_nm0.1600.2311.0000.2440.0720.0300.0000.1770.100
answrr_oc_area_nm0.0000.0980.2441.0000.0000.0000.0000.0000.000
hshld_income_dgree_nm0.1320.0000.0720.0001.0000.2570.0000.1390.000
lstyr_versus_viewng_ncnt_incr_act_nm0.2930.0000.0300.0000.2571.0000.4310.3660.273
lstyr_versus_viewng_ncnt_decr_act_nm0.0000.1550.0000.0000.0000.4311.0000.3390.263
two_year_within_cltur_art_viewng_hope_rn1_value0.0000.1760.1770.0000.1390.3660.3391.0000.317
two_year_within_cltur_art_viewng_hope_rn2_value0.0000.2480.1000.0000.0000.2730.2630.3171.000

Missing values

2023-12-10T19:18:56.303170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:18:56.549473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

respond_idexamin_ymsexdstn_flag_cdagrde_flag_nmanswrr_oc_area_nmhshld_income_dgree_nmlstyr_versus_viewng_ncnt_incr_act_nmlstyr_versus_viewng_ncnt_decr_act_nmtwo_year_within_cltur_art_viewng_hope_rn1_valuetwo_year_within_cltur_art_viewng_hope_rn2_value
053322293202205F40대서울특별시300이상500만원 미만없음없음박물관영화관
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